Dr. Deep Gupta
Brief Bio
| Brief Bio |
|---|
| Deep Gupta is a researcher in image processing, computer vision, medical image analysis, and artificial intelligence. He is an Assistant Professor in the Department of Electronics and Communication Engineering at Visvesvaraya National Institute of Technology (VNIT) Nagpur, Maharashtra, lab in-charge of the Centre for Artificial Intelligence (CAI), Medical Image Analysis (MedIA) Lab, Senior Member of IEEE, and Life member of the Ultrasonic Society of India. His research interests include machine learning, image analysis, computer vision, and multimodal medical image analysis, AI in healthcare. In 2015-16, he was an Assistant Professor in Electronics and Communication Engineering at the Thapar University Patiala. From 2011 to 2015, he was a Doctoral fellow in the Biomedical Lab, Department of Electrical Engineering at Indian Institute of Technology Roorkee (IITR), India. In 2010, he received a two-year Master's degree (M.Tech.) in Electrical Engineering from the Indian Institute of Technology Roorkee, and a four-year Bachelor’s degree (B.Tech.) in Electronics and Communication Engineering from the Uttar Pradesh Technical University Lucknow in 2005. |
Education
| Sr. No. | Degree | Year | Specialization | University |
|---|---|---|---|---|
| 1 | Doctor of Philosophy | 2011-2015 | Ultrasound Medical Image Analysis | Indian Institute of Technology Roorkee, India |
| 2 | Master of Technology | 2008-2010 | System and Control | Indian Institute of Technology Roorkee, India |
| 3 | Bachelor of Technology | 2001-2005 | Electronics and Communication Engineering | Uttar Pradesh Technical University Lucknow, India |
Contact
| Phone: | Email: | Address: |
|---|---|---|
| 91 (712) 280 1855, 91 9358190782 | deepgupta[at]ece.vnit.ac.in, er.deepgupta[at]gmail.com | Room No. ECE 003, Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology Nagpur, South Ambazari Road, Nagpur 440010, Maharashtra, India |
Research Interest
| Research Interest |
|---|
| Image processing and computer vision |
| Machine Learning |
| AI in Healthcare |
| Multimodal medical image analysis |
| Histopathological image analysis |
| Food image analysis by end-to-end learning |
| Video segmentation and analysis |
| Image segmentation |
| Multiclass classification |
| Event detection |
| Cognitive analysis |
GIAN Course on Advances in Remote Sensing Imagery Data Processing and Analysis by Dr. Fabio Dell’Acqua (University of Pavia, Italy)
- Course code: 2412119
- Course Date: January 13-17, 2025
- Course Link: The course brochure is available here (Click Here)
- Late Date of Registration: December 15, 2024
Registration Procedure:
Registration will be in two steps
Step 1: Register for the course at the Registration Link
For any difficulty during the registration or payment, please contact deepgupta@ece.vnit.ac.in, vnit.gian@vnit.ac.in
Step 2: Go to https://pay.vnit.ac.in/home and register. Procedure for payment.
Accommodation:
Limited accommodation (boarding and lodging) at our VNIT Guest House and Boys and Girls Hostel Guest Rooms can be made available to outstation participants on a payment basis as per the rules of the Institute. These shall be available at “First Come First Served” basis.
Those participants who would like to stay outside campus may find many budgets and better hotels in the vicinity of the VNIT campus.
Participants are required to pay separately the boarding and lodging charges on their arrival at the VNIT campus.
Rooms at VNIT Guest House/ Hostel Guest Rooms are available as per the following rates:
Guest House/ Hostel Guest Rooms | Single (AC Rooms) | INR 1200 per person per day |
| Double Sharing (AC Rooms) | INR 600 per person per day | |
| Hostel Guest Rooms | Single (Non-AC Rooms) | INR 800 per person per day |
| Double Sharing (Non-AC Rooms) | INR 400 per person per day |
*Please note that prices may slightly vary.
If you wish to stay outside, then please make your own accommodation and conveyance arrangements. Also, drop an email to deepgupta@ece.vnit.ac.in, vnit.gian@vnit.ac.in, regarding your accommodation, in case you don’t opt for VNIT accommodation.
| Year | Award Description |
|---|---|
| 2025 | Received Extramural research (small) grant from Indian Council of Medical Research (ICMR) |
| 2024 | Received Seminar/ Symposia grant from SERB, ISRO & BRNS India for PCEMS 2024 |
| 2022 | Received Core research grant from Science and Engineering Research Board India |
| 2022 | Received Seminar/ Symposia grant from SERB, ISRO. BRNS, DRDO & CSIR, India for CVIP 2022 |
| 2019 | Awarded International travel grant by Science and Engineering Research Board India |
| 2017 | Awarded Seal of Excellence by European Commission in Horizon 2020 |
| 2016 | Received Dr. T.K. Saksena Memorial Award from Ultrasound by Ultrasonic Society of India |
| 2014 | Received Dr. S. Parthasarathy Award from Ultrasonic Society of India |
| Title | Funding Agency | Role | Year |
|---|---|---|---|
| AI-assisted computer aided system for automated detection and grading of prostate cancer severity using multimodal data fusion: Pathology–Radiology Fusion | ANRF, ARG | PI | 2026-2030 |
| AI-assisted computer aided system for automated detection and grading of colorectal cancer severity using H and E-stained histopathological imaging | ICMR | PI | 2025-2028 |
| Developing of Indian sign language recognition system for empowering hearing impaired studentsclassroom learning | VNIT | PI | 2024-2026 |
| Development of fully-automated liver cancer detection and severity estimation system from H&E stained histopathological images | CRG, SERB | PI | 2022-2025 |
| Low-cost real-time dual-mode photoacoustic ultrasound imaging technology for non-invasive diagnosis and management of cancer | Scheme for Promotion of Academic and Research Collaboration | Co-PI | 2019-2022 |
| Sr. No. | Details of Paper |
|---|---|
| J50 | Ajinkya Deshpande, Deep Gupta, Ankit Bhurane, Nisha Meshram, Sneha Singh, Petia Radeva, “Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images,” arXiv preprint arXiv:2412.03084, 2024. |
| J49 | Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde, “A new multimodal medical image fusion based on laplacian autoencoder with channel attention,” arXiv preprint, arXiv:2310.11896, 2023. |
| J48 | Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde, “Multi-modal medical neurological image fusion using wavelet pooled edge preserving autoencoder,” arXiv preprint, arXiv 2310.11896, 2023. |
| J47 | Bhagyashree V Lad, Manisha Das, Mohammad Farukh Hashmi, Avinash G Keskar, and Deep Gupta, “Saliency detection using a bio-inspired spiking neural network driven by local and global saliency,” Applied Artificial Intelligence, vol. 36, no. 1, 2022. |
| J46 | Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde, “Optimized multimodal neurological image fusion based on low-rank texture prior decomposition and super-pixel segmentation,” IEEE Transactions on Instrumentation & Measurement, vol. 71, pp 1-9, 2022. |
| J45 | Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde, “Multimodal image sensor fusion in a cascaded framework using optimized dual channel pulse coupled neural network,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, no.9, pp. 11985-12004, 2022. |
| J44 | Ankush D Jamthikar, Deep Gupta, Laura E. Mantella, Luca Saba, Amer M.Johri, J.S.Suri, “Ensemble machine learning and its validation for prediction of coronary artery disease and acute coronary syndrome using focused carotid ultrasound,” IEEE Transactions on Instrumentation and Measurement, vol. 71, 1-10, 2022. |
| J43 | Ankush D Jamthikar, Deep Gupta, Amer M.Johri, Laura E. Mantella, Luca Saba, J.S.Suri, “A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study,” Computers in Biology and Medicine, vol. 140, 2022. |
| J42 | Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde, “Optimized CT-MR neurological image fusion framework using biologically inspired spiking neural model in hybrid l1-l0 layer decomposition domain,” Biomedical Signal Processing and Control, vol. 68, 2021. |
| J41 | Sneha Singh and Deep Gupta, “Detail enhanced feature-level medical image fusion in decorrelating decomposition domain,” IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-9, 2021 |
| J40 | Manisha Das, Deep Gupta, Petia Radeva, and Ashwini M. Bakde, “NSST domain CT-MR neurological image fusion using optimized biologically inspired neural network,” IET Image Processing, vol 14, no. 16, pp. 4291-4305, 2021. |
| J39 | Manisha Das, Deep Gupta, Petia Radeva, Ashwini M. Bakde, “Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired spiking neural model with meta-heuristic optimization,” International Journal of Imaging Systems and Technology, 2021. |
| J38 | Sneha Singh and Deep Gupta, “Multistage multimodal medical image fusion model using feature adaptive pulse coupled neural network,” International Journal of Imaging Systems and Technology, vol. 31, no. 2, pp. 981-1001, 2021. |
| J37 | Ankush D Jamthikar, Deep Gupta, L.E. Mantella et al., “Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study,” The International Journal of Cardiovascular Imaging, vol 37, no. 4, pp. 1171-1187, 2021. |
| J36 | Ankush D Jamthikar, Deep Gupta, A. M. Johri, et al., “Low-cost office-based cardiovascular risk strati cation using machine learning and focused carotid ultrasound in an Asian-Indian cohort,” Journal of Medical Systems, vol. 44, no. 12, pp. 1-15, 2020. |
| J35 | Ankush D Jamthikar, A, Puvvula, Deep Gupta, AM Johri, et al., “Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: a narrative review,” International Angiology: a Journal of the International Union of Angiology, vol. 40, no. 2, pp. 150-164, 2020. |
| J34 | V. Viswanathan, Ankush D Jamthikar, Deep Gupta, A. Puvvula, et al., “Does the carotid bulb o er a better 10-Year CVD/Stroke risk assessment compared to the common carotid artery? A 1516 ultrasound scan study,” Angiology, vol. 71, no.10, pp. 920-933, 2020. |
| J33 | Ankush D Jamthikar, Deep Gupta, L. Saba, N. N. Khanna, et al., “Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound,” Computers in Biology and Medicine, vol. 126, pp.1-20, 2020. |
| J32 | Ankush D Jamthikar, Deep Gupta, A. Puvvula, A. M. Johri, N. N. Khanna, L. Saba, et al., “Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging,” Rheumatology International, vol. 40, pp.1921-1939, 2020. |
| J31 | Ankush D Jamthikar, Deep Gupta, N. N. Khanna, L. Saba, J. R. Laird, and J. S. Suri, “Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors,” Indian Heart Journal, vol. 72, no. 4, pp. 258-264, 2020. |
| J30 | V. Viswanathan, Ankush D Jamthikar, Deep Gupta, et al., “Integration of estimated glomerular filtration rate biomarker in image-based cardiovascular disease/stroke risk calculator: a south Asian-Indian diabetes cohort with moderate chronic kidney disease,” International Angiology: A Journal of the International Union of Angiology, vol. 39, pp. 290-306, 2020. |
| J29 | Ankush D Jamthikar, Deep Gupta, E. Cuadrado-Godia, A. Puvvula, N. N. Khanna, L. Saba, et al., “Ultrasound-based stroke/cardiovascular risk stratification using Framingham Risk Score and ASCVD Risk Score based on Integrated Vascular Age instead of Chronological Age: a multi-ethnic study of Asian Indian,” Caucasian, and Japanese cohorts, Cardiovascular Diagnosis and Therapy, vol. 10, no. 4, pp. 939-954, 2020. |
| J28 | Ankush D Jamthikar, Deep Gupta, L. Saba, et al., “Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models,” Cardiovascular Diagnosis and Therapy, vol. 10, pp. 919-938, 2020. |
| J27 | A Puvvula, Ankush D Jamthikar, Deep Gupta, et al., “Morphological carotid plaque area is associated with glomerular filtration rate: A study of south Asian Indian patients with diabetes and chronic kidney disease,” Journal of Angiology, vol. 71, no. 6, pp. 520-535, 2020. |
| J26 | V. Viswanathan, Ankush D Jamthikar, Deep Gupta, A. Puvvula, N. N. Khanna, L. Saba, et al., “Integration of eGFR biomarker in image-based CV/Stroke risk calculator: a south Asian-Indian diabetes cohort with moderate chronic kidney disease,” International Angiology: A Journal of the International Union of Angiology, vol. 39, no. 4, pp. 290-306, 2020. |
| J25 | Ankush D Jamthikar, Deep Gupta, J.S. Suri, et al., “Low-cost preventive screening using carotid ultrasound in patients with diabetes,” Frontiers in Bioscience, vol. 25, pp. 1131-1171, 2020. |
| J24 | Ankush D Jamthikar, Deep Gupta, Khanna NN, et al., “A special report on changing trends in preventive stroke/cardiovascular risk assessment via B-mode ultrasonography,” Current Atherosclerosis Reports, vol. 21, no. 7, pp. 1-16, 2019. |
| J23 | Ankush D Jamthikar, Deep Gupta, et al., “A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes,” Cardiovascular Diagnosis and Therapy, vol. 9, no. 5, pp. 420-430, 2019. |
| J22 | NN Khanna, Ankush D Jamthikar, Deep Gupta, Araki T et al., “Effect of Carotid Image-based Phenotypes on Cardiovascular Risk Calculator: AECRS1.0,” Medical & Biological Engineering & Computing, vol. 57, no. 7, pp. 1553-1566, 2019. |
| J21 | E Cuadrado-Godia , Ankush D Jamthikar, Deep Gupta, NN Khanna, et al., “Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach,” Computers in Biology and Medicine, vol.108, pp. 182-195, 2019. |
| J20 | NN Khanna, Ankush D Jamthikar, Deep Gupta, M Piga, et al., “Rheumatoid arthritis: atherosclerosis imaging and cardiovascular risk assessment using machine and deep learning-based tissue characterization,” Current Atherosclerosis Reports, vol. 21, no. 2, pp. 1-14, 2019. |
| J19 | NN Khanna, AD Jamthikar, Deep Gupta, et al., “Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study,” Computers in Biology and Medicine, vol. 105, pp.125-143, 2019. |
| J18 | Luca Saba AD Jamthikar, L Saba, Deep Gupta, J.S. Suri, et al., “Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited? International Angiology, vol. 38, no. 6, pp. 451-465, 2019. |
| J17 | NN Khanna, AD Jamthikar, Deep Gupta, et al., “Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study,” Echocardiography, vol. 36, no.2, pp. 345-361, 2019. |
| J16 | SM Nemalidinne, Deep Gupta, “Nonsubsampled contourlet domain visible and infrared image fusion framework for fire detection using pulse coupled neural network and spatial fuzzy clustering, Fire Safety Journal, vol. 101, pp. 84-101, 2018. |
| J15 | V Kotsis, Ankush D Jamthikar, T Araki, Deep Gupta, J. R. Laird, et. al., “Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients,” Diabetes Research and Clinical Practice, vol. 143, pp. 322-331, 2018. |
| J14 | A Boi, Ankush D Jamthikar, L Saba, Deep Gupta, et al., “A survey on coronary atherosclerotic plaque tissue characterization in intravascular optical coherence tomography,” Current Atherosclerosis Reports, vol. 20:30, pp. 1-17, 2018. |
| J13 | Deep Gupta, “Nonsubsampled shearlet domain fusion techniques for CT-MR neurological images using improved biological inspired neural model,” Biocybernetics and Biomedical Engineering, vol. 38, no. 2, pp. 262-274, 2018. |
| J12 | S. Singh, RS. Anand, Deep Gupta, “CT and MR image information fusion scheme using a cascaded framework in ripplet and nonsubsampled shearlet domain Model,” IET Image Processing, vol. 12, pp. 696-707, 2018. |
| J11 | Shilpa Suresh, D. Das, S. Lal, Deep Gupta, “Image quality restoration framework for contrast enhancement of satellite remote sensing images,” Remote Sensing Applications: Society and Environment, vol. 10, pp. 104-119, 2018 |
| J10 | Deep Gupta and R.S. Anand, “A hybrid edge-based segmentation approach for ultrasound medical images,” Biomedical Signal Processing and Control, vol. 31, pp. 116-126, 2016. |
| J9 | Sneha Singh, Deep Gupta, RS Anand, Vinod Kumar, “Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network,” Biomedical Signal Processing and Control, vol. 18, pp. 91-101, 2015. |
| J8 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “Speckle filtering of ultrasound images using a modified nonlinear diffusion model in nonsubsampled shearlet domain,” IET Image Processing, vol. 9, no. 2, pp. 107-117, 2015. |
| J7 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “A hybrid segmentation method based on Gaussian kernel fuzzy clustering and region-based active contour model for ultrasound medical images,” Biomedical Signal Processing and Control, vol. 16, pp. 98-112, 2015. |
| J6 | Deep Gupta, R.S. Anand, and BarjeevTyagi, “Despeckling of ultrasound medical images using ripplet domain non-linear filtering,” Signal, Image and Video Processing, vol. 9, no. 5, pp. 1093-1111, 2015. |
| J5 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “Despeckling of ultrasound medical images using nonlinear adaptive anisotropic diffusion in nonsubsampled shearlet domain,” Biomedical Signal Processing and Control, vol. 14, pp. 55-65, 2014. |
| J4 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “Ripplet domain non-linear filtering for speckle reduction in ultrasound medical images,” Biomedical Signal Processing and Control, vol. 10, pp. 79-91, 2014. |
| J3 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “Despeckling of ultrasound images of bone fracture using M-band ridgelet transform,” Optik – International Journal for Light and Electron Optics, vol. 125, no. 3, pp. 1417-1422, 2014. |
| J2 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “Edge preserved enhancement of medical images using adaptive fusion-based denoising by shearlet transform and total variation algorithm,” Journal of Electronic Imaging, vol. 22 4, 2013. |
| J1 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “Edge preserved enhancement of medical ultrasound images using multiscale ripplet transform-based OGS algorithm,” Journal of Pure and Applied Ultrasonics, vol. 35, no. 4, pp. 111-119, 2013. |
| Sr. No. | Details of Paper |
|---|---|
| C21 | Ajinkya Deshpande, Deep Gupta, Ankit Bhurane, Nisha Meshram, Sneha Singh, “EfficientNet-Driven Framework for Precise Detection and Grading of Liver and Colon Cancer using H&E Stained Histopathological Images,”9th IAPR International Conference on Computer Vision and Image Processing, 2024. |
| C20 | Pranav Kathar, Rajshree Khandare, Manisha Das, Deep Gupta, and Sneha Singh, “Vision outlooker-based hierarchical food classification,” IEEE Region 10 Conference TECNON 2023, Chaing Mai, 2023. |
| C19 | Ashutosh Gattani, Sanket Sannake, and Deep Gupta, “Lung and colon cancer classification using hybrid ensemble learning,” 8th International Conference on Computing in Engineering and Technology (ICCET 2023), IIT Patna, July 14-15, 2023. |
| C18 | Pranay Dumbhare, Yash Dubey, Vedant Phuse, Ankush Jamthikar, Himanshu Padole, and Deep Gupta, “Combining Deep-Learned and Hand-Crafted Features for Segmentation, Classification and Counting of Colon Nuclei in H &E Stained Histology Images,” 7th IAPR International Conference on Computer Vision and Image Processing, 2023, pp. 686-698. |
| C17 | Rishesh Agarwal, Manisha Das, Deep Gupta, and Petia Radeva, “Video Colorization using Modified Autoencoder Generative Adversarial Networks,” 7th IAPR International Conference on Computer Vision and Image Processing (CVIP2022), 2023, pp. 304-315. |
| C16 | Vishwesh Pillai, Pranav Mehar, Manisha Das, Deep Gupta, and Petia Radeva, “Integrated hierarchical and flat classifiers for food image classification using epistemic uncertainty,” 14th IEEE International Conference on Signal Processing and Communications (SPCOM2022), IISc Bangalore, July 11-15, 2022. |
| C15 | Dhruvi Shah, Hareshwar Wani, Mansiha Das, Deep Gupta, Petia Radeva, and Ashwini M. Bakde, “STPGANsFusion: structure and texture preserving generative adversarial networks for multimodal medical image fusion,” IEEE 28th National Conference on Communications (NCC-2022), IIT Bombay, May 24-27, 2022. |
| C14 | Pravin Sahu, Sachin Kapgate, Manisha Das, and Deep Gupta, “Human following robot using Kinect in embedded platform,” IEEE PCEMS-2022, VNIT Nagpur, May 06-07, 2022. |
| C13 | Manisha Das, Deep Gupta, Petia Radeva, and Ashwini M. Bakde, “Deep and bio-inspired spiking neural networks based optimized multimodal neurological image fusion model,” 9th International Conference on Pattern Recognition and Machine Intelligence (PreMI-2021), ISI Kolkata, December 15-18, 2021. |
| C12 | Manisha Das, Deep Gupta, Petia Radeva, and Ashwini M. Bakde, “Optimized bio-inspired spiking neural models based anatomical and functional neurological image fusion in NSST domain,” IEEE 27th National Conference on Communications (NCC-2021), IIT Kanpur, July 27-30, 2021. |
| C11 | Rohit Lal, Kush Agarwal, Himanshu Patil, Deep Gupta, and K Surender, “DeepSCT: Deep learning-based self-correcting object tracking mechanism,” IEEE 27th National Conference on Communications (NCC-2021), IIT Kanpur, July 27-30, 2021. |
| C10 | T Ulli, Deep Gupta, “Segmentation of calcified plaques in intravascular ultrasound images,” Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol. 766, pp 57-67, 2020, |
| C9 | T.M. Kumar, M.V.N. Maanas Sai, and Deep Gupta, “Transform domain rain removal methods using dictionary learning approach: A comparative study,” in 11th International Conference on Advances in Computing, Control, and Telecommunication Technologies, pp. 310-315, 2020. |
| C8 | K.V. Reddy, T.C. Reddy, and Deep Gupta, “Convolutional neural network-based MRI brain tumor identification,” in 11th International Conference on Advances in Computing, Control, and Telecommunication Technologies, pp. 304-309, 2020. |
| C7 | V Saraswathi, and Deep Gupta, “CNN and RF-based classification of Brain Tumors in MR neurological image,” in 4th International Conference Computer vision and Image Processing (CVIP-2019), Sep. 27-29, 2019, MNIT Jaipur, India. |
| C6 | V Saraswathi, and Deep Gupta, “Classification of brain tumor using PCA-RF in MR neurological images,” in 12th IEEE International Conference on Communication Systems & Networks (COMSNETS), pp. 440-443, Jan. 7-11, 2019, Bengaluru, India. |
| C5 | S. Mouni, P. Sindhu Anem, and Deep Gupta, “Nonsubsampled contourlet domain fusion approach for infrared and visible fire images,” in IEEE Region 10 conference TENCON, pp. 2516-2521, Oct. 28-31, 2018, South Korea. |
| C4 | Deep Gupta, R.S. Anand and Barjeev Tyagi, “Enhancement of medical ultrasound images using non-linear filtering based on rational-dilation wavelet transform,” in International Conference on Signal Processing and Imaging Engineering, Oct. 24-26 2012, San Francisco, USA, pp. 615-620, USA. |
| C3 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “Enhancement of medical ultrasound images using multiscale discrete shearlet transform based thresholding,” in IEEE International Symposium of Electronic, System and Design, pp. 286-290, Dec. 19-22, 2012, BESU, Howrah, India. |
| C2 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “Efficient wavelet-based noise removal algorithm for natural images corrupted by Gaussian noise,” in IEEE International Conference on aerospace electronics, communication and instrumentation, Jan. 6-7, 2010, VRSEC Vijaywada, India. |
| C1 | Deep Gupta, R.S. Anand, and Barjeev Tyagi, “A new method of image denoising based on wavelet transform,” in International Conference on engineering innovations- A fllip to economic development, Feb. 18-20, Feb. 2010, CGI Punjab, India. |
| Description | Details |
|---|---|
| Book Chapter | Manisha Das, Deep Gupta, and Ashwini Bakde, An end-to-end content-aware generative adversarial network based method for multimodal medical image fusion, Data Analytics for Intelligent Systems: Techniques and solutions, pp. 7-1- 7-10, IOP Publishing. 2024. Online ISBN: 978-0-7503-5417-2. Print ISBN: 978-0-7503-5415-8. |
| Book Chapter | Adesh Rukmangad, Ajinkya Deshpande, Ankush Jamthikar, Deep Gupta, Nisha Meshram, Classification of H&E stained Liver Histopathology Images Using Ensemble Learning Techniques for detection of the level of malignancy of Hepatocellular Carcinoma (HCC), Machine Learning Paradigms { Advances in Theory and Applications of Learning from Imbalanced Data, Springer. |
| Book Chapter | Manisha Das, Deep Gupta, Petia Radeva and Ashwini M Bakde, A swarm optimized hybrid layer decomposition and reconstruction model for multi-modal medical image fusion, Artificial Intelligence Applications for Health Care, Taylor & Francis, CRC Press, pp. 203-225, 2022, eBook ISBN: 9781003241409. |
| Book Chapter | T.C. Ulli, and Deep Gupta, Segmentation of calcified plaques in intravascular ultrasound images, Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, Springer, pp 57-67, 2020, Online ISBN: 978-981-13-9683-0, Print ISBN: 978-981-13-9682-3. |
| Book Chapter | Ankush D Jamthikar, Vasileios Kotsis, Tadashi Araki, Deep Gupta, et al., Echolucency-based phenotype in carotid atherosclerosis disease for risk strati cation of diabetes patients, Vascular and Intravascular Imaging Trends, Analysis, and Challenges, volume 2, IOP Publishing Aug. 2019. Online ISBN: 978-0-7503-2002-3, Print ISBN: 978-0-7503-1999-7. |
| Book Chapter | Ankush D Jamthikar, Alberto Boi, Luca Saba, Deep Gupta, John R Laird, N N Khanna and Jasjit Suri, Risk of coronary artery disease: genetics and external factors, Vascular and Intravascular Imaging Trends Analysis, and Challenges, volume 2, IOP Publishing Aug. 2019. Online ISBN: 978-0-7503-2002-3, Print ISBN:978-0-7503-1999-7. |
| Book Chapter | Ankush D Jamthikar, Alberto Boi, Luca Saba, Deep Gupta, John R Laird, N N Khanna and Jasjit S Suri, Wall quantification and tissue characterization of the coronary artery, Vascular and Intravascular Imaging Trends, Analysis, and Challenges, volume 2, IOP Publishing Aug. 2019. Online ISBN: 978-0-7503-2002-3, Print ISBN: 978-0-7503-1999-7. |
| Book Chapter | Ankush D Jamthikar, Alberto Boi, Luca Saba, Deep Gupta, John R Laird, N N Khanna and Jasjit S Suri, Rheumatoid arthritis: its link to atherosclerosis imaging and cardiovascular risk assessment using machine-learning-based tissue characterization, Vascular and Intravascular Imaging Trends, Analysis, and Challenges, volume 2, IOP Publishing Aug. 2019. Online ISBN: 978-0-7503-2002-3, Print ISBN: 978-0-7503-1999-7. |
| Book Chapter | Deep Gupta, R.S. Anand, and Barjeev Tyagi, Despeckling of ultrasound images of bone fracture using RADWT based non-linear filtering, Lecture Notes in Electrical Engineering, pp. 697-711, 2013, Springer Netherlands. DOI 10.1007/978-94-007-6818-5 49, ISBN: 978-94-007-6817-8 Published by Springer. |
| Patent Title | Application No. | Date | Status |
|---|---|---|---|
| Hybrid Deep Learning Based System For Assessing Liver Cancer | 202321028313 | April 18, 2023 | FER Submitted |
| Ph.D. Title | Student Name | Enrollment ID | Role | Joining Year | Status |
|---|---|---|---|---|---|
| Deep Learning Models for Classification of Colorecatla Cancer in Pathology | Mirthipati Saikiran Sanjay | DT25ECE008 | Supervisor | July 2025 | Ongoing |
| Spatial, Feature and Decision Level Multidomain Data Fusion | Sudhir Kr Singh | DT24ECE014 | Supervisor | July 2024 | Ongoing |
| Oropharyngeal Cancer Detection and Severity Estimation using Computed Tomography Images from Large Head and Neck Cohort | Ashwini Mate | DT23ECE006 | Supervisor | January 2024 | Ongoing |
| Identification, Grading, and Severity Analysis of Colorectal Cancer using H&E Histopathology Images | Nisha K Warambhe | DT23ECE002 | Co-Supervisor | July 2023 | Ongoing |
| Fusion of Multimodal Nuerological Images using Transform Domain and Deep Learning Techniques | Manisha G Das | DT18ECE098 | Supervisor | December 2018 | Awarded, 2023 |
| Cardiovascular Disease Risk Assessment using Carotid Ultrasound Image Phenotypes with Machine Learning | Ankush D Jamthikar | DT17ECE008 | Supervisor | July 2017 | Awarded, 2022 |
| M.Tech. Dissertation Title | Student Name | Enrollment ID | Role | Year | Status |
|---|---|---|---|---|---|
| Camera-based Perception System for ADAS Applications | Tanu Dewangan | MT21CMN012 | Supervisor | 2021 – 2023 | Awarded |
| Convolutional Autoencoder-based Multimodal Neurological Image Fusion | Payal Wankhede | MT21CMN015 | Supervisor | 2021 – 2023 | Awarded |
| Post Si-Validation of Graphic Display Technologies: Render Decompressions | Abhishek Belgaonkar | MT20CMN006 | Supervisor | 2020 – 2022 | Awarded |
| Haze Aware Adaptive Visible-NIR Image Fusion for Image Dehazing | Pathan Sai Nagoor Basha | MT19CMN017 | Supervisor | 2019 – 2021 | Awarded |
| Identication of Tumors in MR Neurlogical Images | Vishlavath Saraswathi | MT17CMN016 | Supervisor | 2017 – 2019 | Awarded |
| Segmentation of Calcied Plaques in Intravascular Ultrasound Images | Tara Chand Ulli | MT16CMN020 | Supervisor | 2016 – 2018 | Awarded |
| Speech Enhancement for Speaker Identication | Mahesh R | MT16CMN016 | Supervisor | 2016 – 2018 | Awarded |
| B.Tech. Project Title | Student Name(s) | Enrollment ID(s) | Role | Year | Status |
|---|---|---|---|---|---|
| Oropharyngeal Tumor Segmentation for Head and Neck Cancer Radiotherapy Planning on CT Imaging | Siddhesh Shenoy and Aditya Jadhav | BT21ECE118, BT21ECE082 | Supervisor | 2024 – 2024 | Completed |
| Wavelet-based Deep Neural Network for Visible and Infrared Image Fusion under Low Light Condition | Rounak Dey and Rohit Anil Kalaje | BT21ECE014, BT21ECE020 | Supervisor | 2024 – 2025 | Completed |
| Ensemble and Attention-Based Deep Models for Oropharyngeal Tumor Classification using CT Imaging | Shruti Kulkarni and Jay Gaikwad | BT21ECE032, BT21ECE059 | Supervisor | 2024 – 2025 | Completed |
| Deep Learning-based Liver Cancer Detection and Grading using Histopathologgy Images | Swaroop Talakwar | BT20ECE101 | Supervisor | 2023 – 2024 | Completed |
| Estimation of Left Ventricular Ejection Fraction using Echocardiograhy | Rishabh Vora and Dhanshree S Warokar | BT20ECE115, BT20ECE118 | Supervisor | 2023 – 2024 | Completed |
| Rectal Histopathology Image Analysis | Arji Hasini Sai Ramya and Divy M Joshi | BT20ECE009, BT20ECE033 | Supervisor | 2023 – 2024 | Completed |
| Hybrid Deep Learning-based Strategy for the Classification of H&E Stained Liver Histopathology Images | Ajinkya Deshpande | BT19ECE024 | Supervisor | 2022 – 2023 | Completed |
| Food Recognition using Vision Transformers | Pranav Kathar and Rajshree Khandare | BT19ECE058, BT19ECE059 | Supervisor | 2022 – 2023 | Completed |
| Ensemble Learning Techniques for Detection of the Level of Malignancy of Lung and Colon Cancer | Ashutosh Gattani and Sanket Sannake | BT19ECE027, BT19ECE097 | Supervisor | 2022 – 2023 | Completed |
| U-net Segmentation and Classification of Brain Tumor MR Images | Bhavani Gundu and Villesh Raj Purohith | BT19ECE035, BT19ECE119 | Supervisor | 2022 – 2023 | Completed |
| Ensemble Learning-based Segmentation and Classification for Colon Nuclei in Histology Images | Pranay Dumbhare | BT19ECE089 | Co-Supervisor | 2022 – 2023 | Completed |
| GAN-based Structure Texture-Preserving Multimodal Neurological Image Fusion | Dhruvi Shah and Hareshwar Wani | BT18ECE115, BT18ECE049 | Supervisor | 2021 – 2022 | Completed |
| Hierarchical and Flat Classifiers-based Food Image Classification using Epistemic Uncertainty | Vishwesh R Pillai and Pranav Mehar | BT18ECE034, BT18ECE042 | Supervisor | 2021 – 2022 | Completed |
| Plant Disease Predictive Approaches Using Deep Learning Models | G S Vamsi Manikanta and Akula Srividhya | BT18ECE070, BT18ECE113 | Supervisor | 2021 – 2022 | Completed |
| IoT Based Smart Car Parking System | Shreedeep K and Mansi B | BT18ECE061, BT18ECE047 | Supervisor | 2021 – 2022 | Completed |
| Video Colorization using Modified Autoencoder General Adversarial Network embedded with Dense Net Architecture | Rishesh Agarwal | BT17ECE066 | Supervisor | 2020 – 2021 | Completed |
| Deep Model -based Underwater Image Enhancement | Priyam R. Bharti and Sharan Bajjuri | BT17ECE061, BT17ECE074 | Supervisor | 2020 – 2021 | Completed |
| Satellite Image Enhancement | Vishal C. Kale and Mahesh Chowdary | BT17ECE093, BT17ECE087 | Supervisor | 2020 – 2021 | Completed |
| Rain and Snow Removal in a Single Image using Transform Domain Sparse Dictionary Learning | M.V.N. Sai Maanas and Tangalla Manoj Kumar | BT16ECE047, BT16ECE077 | Supervisor | 2019 – 2020 | Completed |
| Brain Tumor Classification Using Convolutional Neural Network | K. Vamshi Reddy and T. Charan Reddy | BT16ECE043, BT16ECE081 | Supervisor | 2019 – 2020 | Completed |
| Driver Drowsiness Detection System using Image Processing Techniques | P.L. Abhilash and G. Mahesh | BT16ECE057, BT16ECE030 | Supervisor | 2019 – 2020 | Completed |
| Object detection and Localisation using Deep Learning | Cherupally Suryakiran | BT15ECE018 | Co-Supervisor | 2018 – 2019 | Completed |
| Graph-Based Segmentation for Ultrasound Images | Karukonda Nikhil Reddy | BT15ECE037 | Co-Supervisor | 2018 – 2019 | Completed |
| Gesture Recognition using Depth Images | D.S. Surendra Kumar and Gunda Rohith | BT15ECE020, BT15ECE028 | Supervisor | 2018 – 2019 | Completed |
| Multifocus Image Fusion Methods | G. Narendra Reddy and K.Sri Ram Kumar | BT15ECE029, BT15ECE042 | Supervisor | 2018 – 2019 | Completed |
| Fusion of Panchromatic and Multispectral Images | Akula Hemanth Kumar and Hanok Maruneela | BT15ECE001, BT15ECE052 | Supervisor | 2018 – 2019 | Completed |
| Visible and Infrared Image Fusion Model for Fire Detection | Anem Pravallika Sindhu and N Siva Mouni | BT14ECE004, BT14ECE047 | Supervisor | 2017 – 2018 | Completed |
| Image Fusion using Convolutional Neural Networks | Kartik Patath | BT14ECE052 | Supervisor | 2017 – 2018 | Completed |
| Human Following Robot Using Kinect | Sachin Kapgate and Pravin Sahu | BT14ECE066, BT14ECE074 | Supervisor | 2017 – 2018 | Completed |
| Evaluation of Speech Enhancement Methods | Nishant Raut and Sam Wesley | BT14ECE062, BT14ECE070 | Supervisor | 2017 – 2018 | Completed |
| Nob-subsampled Transform-basedMultimodal Medical Image Fusion | Sanchit Samant and Sudeepta Kataki | BT13ECE069, BT13ECE077 | Supervisor | 2016 – 2017 | Completed |
| Voice Controlled Color Detecting Robot | A Tanoj Kumar, Joshita Hembram, Akshada Muneshwar and Pranali Kamble | BT13ECE017, BT13ECE028, BT13ECE047, BT13ECE061 | Supervisor | 2016 – 2017 | Completed |
| Course Code | Course Name | Semester | UG/PG/No. of Students |
|---|---|---|---|
| ECL304 | Digital Signal Processing | 4th (UG) | S25, S24, S23 (with Dr. Saugata Sinha)/UG-120, UG-119, S22 (with Dr. Saugata Sinha)/UG-124, S21 (with Dr. Ankit Bhurane)/UG-137, S20 (with Dr. Saugata Sinha)/UG-137 |
| ECL430 | Biomedical Signal Processing | 7th (UG), 1st (PG) | W23/UG-29, W22/UG-32, S21/PG-05, W21/UG-16 & PG-08 |
| ECL312 | Control Engineering | 6th (UG) | W24 (with Dr. Praveen Pawar)/UG-119, W23/UG-60, W22/UG-60, W21/UG-137, W20/UG-154, W19/UG-92 |
| ECL412 | Advanced Digital Signal Processing | 6th (UG) | W24/UG-21, S19 /UG-24, S18/ECE-54, S17/UG-14 & Ph.D, W15/PG-24 |
| ECL202 | Digital Logic Design | 3rd (UG) | W18/UG-100, W17/UG-102 |
| ECL408 | Biomedical Engineering | 6th (UG) | S19/UG-22, S17/UG-26 |
| ECL206 | Electronic Devices and Circuits | 3rd (UG) | W16/UG-100 (EEE) |
| ECL445 | Digital Signal Processing and its Applications | 7th (UG) | W16/UG-26 |
| ECP304 | Digital Signal Processing | 4th (UG) | |
| ECP430 | Biomedical Signal Processing | 7th (UG), 1st (PG) | |
| ECP312 | Control Engineering | 6th (UG) | |
| ECP412 | Advanced Digital Signal Processing | 6th (UG) | |
| ECP411 | Digital Image Processing Lab | 6th (UG) |
| STC/CONF | Title | Funding Agency | Dates | |
|---|---|---|---|---|
| [STC8] | Advances in Remote Sensing Imagery Data Processing and Analysis | GIAN | 02 – 06 Jan. 2023 | |
| [STC7] | Advanced Computer Vision: Application to Food Image Analysis | GIAN | 02 – 06 Jan. 2023 | |
| [STC6] | Multimedia Forensics: Overview and Perspective | GIAN | 19 – 23 Sep. 2023 | |
| [CONF3] | 7th International Conference on Computer Vision and Image Processing (CVIP’22 ) | SERB, DRDO, ISRO, BRNS, CSIR | 04 – 06 Nov. 2022 | |
| [CONF2] | 1st International Conference on PCEMS 2022 | MATLAB, VNIT | 06 – 07 May 2022 | |
| [STC5] | Advanced Medical Imaging: Wireless Endoscopy Analysis | GIAN | 02 – 06 Jan. 2018 | |
| [STC4] | Signal and Image Processing for Medical Applications (SIPMA’19) | TEQIP | 20 – 24 Feb. 2019 | |
| [STC3] | Signal and Image Processing Applications with MATLAB | Self-Sponsored | 21 – 23 and 29-30 Sep. 2018 | |
| [STC2] | MATLAB Play Signal, Image, and Video Processing (Basic and Advanced) | Self-Sponsored | 13 – 14 and 19 – 21 Jan. 2018 | |
| [STC1] | Role of Optimization in Engineering Applications | TEQIP | 26 – 30 Dec. 2017 | |
| [CONF1] | Special session on Challenges and Perspectives in the CAD System Design and Healthcare Applications in the International Conference on Internet of Things and Connected Technologies | MNIT Jaipur | 26 – 27 Mar. 2018 |
| Responsibility | Institute | Role | Year |
|---|---|---|---|
| Capacity Building Activities for Research | VNIT Nagpur | Coordinator | June 2025 onwards |
| APJ Abdul Kalam Hostel | VNIT Nagpur | Warden | June 2025 onwards |
| Draft Committee for PhD guidelines and Admission July 2025 | VNIT Nagpur | Secretary | April 2025 onwards |
| VNIT Guest House | VNIT Nagpur | Member | March 2025 onwards |
| Industries Institute and Alumni Interaction | VNIT Nagpur | Coordinator | July 2024 onwards |
| Hostel Block 1 | VNIT Nagpur | Warden | June 2024 – May 2025 |
| Hostel Block 2 | VNIT Nagpur | Warden | June 2023 – May 2024 |
| Hostel Block 4 | VNIT Nagpur | Warden | June 2018 – May 2023 |
| Board of Studies | SATI Vidisha | Member | May 2019 – May 2020 |
| Vigilance Cum Academic Disciplinary Action Committee | VNIT Nagpur | Member | October 2018 – December 2020 |
| Hostel Block 6 | VNIT Nagpur | Warden | June 2017 – May 2018 |
| Postgraduate National Board Accreditation (NBA) Coordinator | VNIT Nagpur | Co-ordinator | June 2019 – December 2020 |
| Rajbhasha Hindi Karyanbayan Committee | VNIT Nagpur | Member | March 2018 – February 2021 |
| Time Table Coordinator | VNIT Nagpur | Co-ordinator | June 2015 – December 2020 |
| DASA (Direct Admission of Students Abroad) Admission Committee | VNIT Nagpur | Member | June 2019 – May 2020 |
| Detailed Advertisement | Vacnacy For | Essential Qualification | Desirable Qualification | Fellowship | Tenure | Project ID |
|---|---|---|---|---|---|---|
| PROJECT ASSOCIATE – I (02 No.) | First class in M.Tech./M.E./MS OR B.E/B.Tech. in CSE/ECE/EEE/Biomedical/AI and its relevant areas | Qualified GATE score | Rs. 37000 +20% HRA | 04 years | ANRF/ARG/2025/010061/ENS |
| Latest News |
|---|
| [March 25] ONE Project of INR 66 lacs AWARDED in ICMR scheme. |
| [Feb 25] ONE paper ACCEPTED in ISBI 2025 Congratulations to Ashwini and Siddesh |
| [Oct 24] ONE paper ACCEPTED in CVIP 2024, Congratulations to Ajinkya |
| [Oct 24] ONE paper ACCEPTED in TENCON 2024, Congratulations to Ajinkya and Swaroop |
| [June 24] ONE Chapter ACCEPTED in Advances in Artificial Intelligence-Empowered Decision Support Systems, Congratulations to Adesh and Ajinkya |
| [May 24] ONE Project of INR 14.5 lacs AWARDED in in house scheme. |
| [Feb 23] ONE Chapter ACCEPTED in Data Analytics for Intelligent Systems, Congratulations to Manisha |
| [Apr 23] ONE paper ACCEPTED in TENCON-2023, Congratulations to Pranav and Rajshree |
| [March 23] ONE paper ACCEPTED in Journal of Ambient Intelligence and Humanized Computing , Congratulations to Manisha. |
| [Apr 23] ONE paper ACCEPTED in ICSIP-2023, Congratulations to Ashutosh |
| [Dec 22] ONE paper ACCEPTED in Applied Artificial Intelligence, Congratulations to Bhagyashree and Manisha |
| [Sep. 22] ONE paper ACCEPTED in CVIP-2022, Congratulations to Pranay, Yash, Vedant and Ankush |
| [July 22] ONE paper ACCEPTED in CVIP-2022, Congratulations to Rishesh. |
| [April 22] ONE paper ACCEPTED in NCC-2022, Congratulations to Dhruvi, Hareshwer and Manisha. |
| [March 22] ONE paper ACCEPTED in IEEE TIM, Congratulations to Manisha. |
| [Dec. 21] ONE Project of INR 24 lacs AWARDED in SERB CRG scheme. |
| [Dec. 21] ONE paper ACCEPTED in IEEE TIM, Congratulations to Ankush. |
| [Nov. 21] ONE paper ACCEPTED in Computers in Biology and Medicine, Congratulations to Ankush. |
| [May 21] ONE paper ACCEPTED in PreMI 2021, Congratulations to Manisha. |
| [May 21] TWO papers ACCEPTED in NCC 2021, Congratulations to Kush, Rohit, and Himanshu, Manisha. |
| [May 21] ONE paper ACCEPTED in NCC 2021, Congratulations to Manisha. |
| [March 21] ONE paper ACCEPTED in IMA, International Journal of Imaging System and Technology, Congratulations to Manisha. |
| [Feb. 21] ONE paper ACCEPTED in BSPC, International Journal of Imaging System and Technology, Congratulations to Manisha. |
| [Dec. 20] ONE paper ACCEPTED in IET Image Processing, Congratulations to Manisha. |
| [Nov. 20] ONE paper ACCEPTED in IEEE TIM, Congratulations to Sneha. |
| [Oct. 20] ONE paper ACCEPTED in IMA, International Journal of Imaging System and Technology, Congratulations to Sneha. |